Senior Machine Learning Engineer - AI Data Trainer

Senior Machine Learning Engineer - AI Data Trainer

Posted Today by Alignerr

Negotiable
Undetermined
Remote
London, England, United Kingdom

Summary: The Senior Machine Learning Engineer - AI Data Trainer at Alignerr will lead the creation of detailed reasoning traces for AI models, focusing on how large language models (LLMs) reason and make decisions. This remote position involves mentoring others in trace documentation and designing data strategies for complex decision-making scenarios. The role requires significant experience in machine learning and a proven ability to document complex problem-solving processes. The position offers flexible hours and competitive pay, with opportunities for contract extension.

Key Responsibilities:

  • Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
  • Mentor and review structured traces to ensure optimal planning and tool-use documentation.
  • Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Key Skills:

  • Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
  • Proven ability to decompose complex problems into clear, logical, and documented steps.
  • Experience with advanced LLM evaluation and training methodologies.
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.

Salary (Rate): £60.00/hour

City: London

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Location: Remote

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.

Organization : Alignerr

Position : Senior Machine Learning Engineer - AI Data Trainer

Type : Hourly Contract

Compensation : $60–$80 /hour

Location : Remote

Commitment : 10–40 hours/week

What You’ll Do

  • Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
  • Mentor and review structured traces to ensure optimal planning and tool-use documentation.
  • Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Requirements

  • Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
  • Proven ability to decompose complex problems into clear, logical, and documented steps.
  • Experience with advanced LLM evaluation and training methodologies.

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems.
  • Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.

Why Join Us

  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.